Robin de Nijs

809 total citations
37 papers, 562 citations indexed

About

Robin de Nijs is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Robin de Nijs has authored 37 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Biomedical Engineering and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Robin de Nijs's work include Medical Imaging Techniques and Applications (24 papers), Advanced MRI Techniques and Applications (18 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Robin de Nijs is often cited by papers focused on Medical Imaging Techniques and Applications (24 papers), Advanced MRI Techniques and Applications (18 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Robin de Nijs collaborates with scholars based in Denmark, Netherlands and Germany. Robin de Nijs's co-authors include Claus Svarer, Thomas Levin Klausen, Søren Holm, Gitte M. Knudsen, Vera Lagerburg, Lars H. Pinborg, Alfonso Fausto, Giovanni Di Leo, Franca Podo and Francesco Sardanelli and has published in prestigious journals such as Magnetic Resonance in Medicine, American Journal of Roentgenology and Journal of Nuclear Medicine.

In The Last Decade

Robin de Nijs

34 papers receiving 549 citations

Peers

Robin de Nijs
Comparison fields: 5 of 86
  • Radiology, Nuclear Medicine and Imaging 362
  • Neurology 125
  • Cellular and Molecular Neuroscience 65
  • Pulmonary and Respiratory Medicine 59
  • Molecular Biology 55
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Citations per field, relative to Robin de Nijs
Robin de Nijs · 1×
Citations per year, relative to Robin de Nijs
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Countries citing papers authored by Robin de Nijs

Since Specialization
Citations

This map shows the geographic impact of Robin de Nijs's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robin de Nijs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin de Nijs more than expected).

Fields of papers citing papers by Robin de Nijs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robin de Nijs. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Robin de Nijs. The network helps show where Robin de Nijs may publish in the future.

Co-authorship network of co-authors of Robin de Nijs

This figure shows the co-authorship network connecting the top 25 collaborators of Robin de Nijs. A scholar is included among the top collaborators of Robin de Nijs based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robin de Nijs. Robin de Nijs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 2
3 1
4 8
5 10
6 1
7 4
8 41
9
Critical values for Pearson’s second coefficient of skewness
1
10 53
11 17
12
PET/MR in oncology:an introduction with focus on MR and future perspectives for hybrid imaging
2
13 9
14 35
15 60
16 15
17 3
18 23
19 7
20 18

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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